Child mortality is a good indicator of the level and quality of health care as well as socio-economic condition of community. The child mortality for India was 116 in 1990 which dropped by 69 in 2009 but as per UNICEF – India is in the list of high child mortality countries. It is well known that a woman is at risk of experiencing child mortality in her whole fertility span and there are many exposure variables which are responsible for it. So here we selected the women who have completed their whole fertility span and tried to find out the relationship of different socio-economic variables with child mortality in total fertility span of women through the modelling in Bayesian setup. In this study, we adopt the binomial model, proposed for the child mortality. With the use of logit link function, we tried to establish a relationship between the socio-economic factors and child mortality. Baysian inference procedure is used to find out the parameters estimate. The whole methodology has been illustrated by means of data taken from Districts Level Household Survey (DLHS-3) conducted during 2007-2008.

child mortality, Bayesian inference, logit link function, fertility span.